class_docstr: Dummy Encoder that delegates to individual real Encoders.
code: def forward(self, src, src_len=None):
      enc_out, enc_final_hs, _ = zip(
          *[
              model_encoder(src, src_len)
              for model_encoder in self.model_encoders
          ]
      )
      return enc_out, enc_final_hs, src_len
  
imports: import torch
  import torch.nn
  from onmt.encoders.encoder import EncoderBase
  from onmt.decoders.decoder import DecoderBase
  from onmt.models import NMTModel
  import onmt.model_builder
label_desc: Use image node_id 2 for calling the EnsembleEncoder obj's underlying member method code with example usage: obj.forward(src, src_len) and returns: enc_out,  enc_final_hs,  src_len